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Artificial intelligence-powered software detected more than half of the liver metastases overlooked by radiologists on contrast-enhanced CT.
Nakai, Hirotsugu; Sakamoto, Ryo; Kakigi, Takahide; Coeur, Christophe; Isoda, Hiroyoshi; Nakamoto, Yuji.
Afiliación
  • Nakai H; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan. Electronic address: nakai.hirotsugu.m37@kyoto-u.jp.
  • Sakamoto R; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan; Preemptive Medicine and Lifestyle Disease Research Center, Kyoto University Hospital, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Ja
  • Kakigi T; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan. Electronic address: tkakigi@kuhp.kyoto-u.ac.jp.
  • Coeur C; AI digital division - Guerbet, 15 Rue des Vanesses, Villepinte 93420, France. Electronic address: christophe.coeur@guerbet.com.
  • Isoda H; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan; Preemptive Medicine and Lifestyle Disease Research Center, Kyoto University Hospital, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Ja
  • Nakamoto Y; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan. Electronic address: ynakamo1@kuhp.kyoto-u.ac.jp.
Eur J Radiol ; 163: 110823, 2023 Jun.
Article en En | MEDLINE | ID: mdl-37059006
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Hepáticas Tipo de estudio: Observational_studies Límite: Humans Idioma: En Revista: Eur J Radiol Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Hepáticas Tipo de estudio: Observational_studies Límite: Humans Idioma: En Revista: Eur J Radiol Año: 2023 Tipo del documento: Article